Combined electricity and water supply strategy for the department of water affairs
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Year
: 2014DOI: 10.1109/SEAA.2014.44
Keyword(s): Clustering algorithms,IEEE Computer Society,Prediction algorithms,Software algorithms,Software systems,Vectors,Clustering,Fault Prediction,Maintenance
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Combined electricity and water supply strategy for the department of water affairs
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| contributor author | Scheepers, C.F. , Bolt, G.D. , Rensburg, J.V. | |
| date accessioned | 2020-03-12T23:40:26Z | |
| date available | 2020-03-12T23:40:26Z | |
| date issued | 2014 | |
| identifier other | 6904172.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1120194?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Combined electricity and water supply strategy for the department of water affairs | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8290365 | |
| subject keywords | Clustering algorithms | |
| subject keywords | IEEE Computer Society | |
| subject keywords | Prediction algorithms | |
| subject keywords | Software algorithms | |
| subject keywords | Software systems | |
| subject keywords | Vectors | |
| subject keywords | Clustering | |
| subject keywords | Fault Prediction | |
| subject keywords | Maintenance | |
| identifier doi | 10.1109/SEAA.2014.44 | |
| journal title | ndustrial and Commercial Use of Energy (ICUE), 2014 International Conference on the | |
| filesize | 1150500 | |
| citations | 0 |